Unity Jobs in Poland.
All active Unity roles based in Poland.
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AI focused DataBricks Developer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Agentic AI (Mosaic AI)
- Python
- SQL
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Build and optimize data transformations using Python and SQL;
- Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
- Strong experience with Python;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Azure SQL pools;
- Understanding of performance tuning for data workloads;
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Synapse (Pipelines)
- Azure SQL pools
- Python
- SQL
- Performance tuning
What You'll Do
- Develop and maintain data pipelines in the Azure environment;
- Work with Azure SQL Pools for data storage and processing;
- Write and optimize SQL queries;
- Perform performance tuning for queries and data workflows;
- Collaborate with a team of engineers on Databricks-based solutions;
- Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
- Ensure reliability and consistency of data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Azure SQL Pools;
- Strong understanding of performance tuning for data workloads;
- Experience working in Azure cloud environment;
- Excellent communication skills;
- English level: B2 (Upper-Intermediate) or higher;
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Python;
- Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
- Familiarity with Databricks Asset Bundles;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
DataBricks Developer (Digital Engineering)
Share this job
Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
- SQL
- Python
- Azure
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Write, optimize, and maintain data transformations using Python and SQL;
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer
- Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
- Solid knowledge of SQL
- Strong experience with Python
- Experience working in Azure cloud environment
- Good understanding of data pipelines and data platform architecture
- Strong analytical and problem-solving skills
- Excellent communication skills
- English level: B2 (Upper-Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Architect (Azure, Lakehouse)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Data Architect (Azure, Lakehouse)
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Data Architect (Azure, Lakehouse)
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Wowhead was created with one sole intent: providing World of Warcraft players with tools and information to make their gameplay more enjoyable. All staff members are passionate fans of World of Warcraft, which helps us keep abreast of the most important features other players are interested in! We pride ourselves on our comprehensive database with helpful user comments, popular tools like the Dressing Room and Flying Tracker, lightning-fast datamining to uncover the latest test realm updates, and detailed guides written by professional players on all popular WoW topics including classes, collections, secrets, and raids. We’ve branched out to cover the Diablo franchise and are planning our next stage of growth.
We are currently seeking a Rendering Engineer with extensive experience to join our team as an independent contractor. This is not an entry level role and you will be working to build World of Warcraft model viewers to help Wowhead to expand our current tools to aid our community of gamers. This position is a full-time remote as you will collaborate with the entire Wowhead team as we work together to deliver world-class products to our fans.
Key Responsibilities
- Maintain Wowhead’s model tools using the site’s WebGL model viewers. TypeScript-based standard viewer used in most of Wowhead website.
- Experience with Unity 6 (C#) and custom Scriptable Render Pipelines (deferred MRT, HLSL, multi-threaded asset loading).
- Solid skills with C++ web assembly-based viewer that is faster with accurate lighting, for various World of Warcraft Player Housing pages.
- Ability to use JavaScript-based Three.js model viewer.
- Strong 3D math skills: matrices, quaternions, normals, and UV mapping.
- Collaborate with other engineers and content creators on technical design and feature roll out.
- Comfortable maintaining existing large codebase for multiple platforms.
- Communicate consistently, clearly, and efficiently all assigned task progress, blockers, or any other role-related issues in a prompt and professional manner on a regular basis.
Nice to Have:
- Ability to manage development of the Wowhead Studio Unity application, to facilitate datamined assets of creatures, characters, and other in-game objects
- Extract game data and game assets required to build tools to support our products and services.
Experience and Technical Requirements
- Comprehensive understanding using various programming languages (such as C++, Python, C#, TypeScript and JS) in order to choose the best tool for the job.
- Experience with mainstream shading languages, such as HLSL and GLSL.
- Understanding of various debugging, reverse engineering, and custom made tools to accomplish assigned tasks.
- Ability to read and comprehend x86/x64 assembly language, such as via IDA as this role is not solely a “file format” data mining role.
- Strong communication skills in English, both written and verbal, with the ability to convey information clearly and effectively.
- A collaborative mindset; ability to collaborate remotely and coordinate with stakeholders across different time zones.
- Professionalism, reliability, and a commitment to delivering high quality work utilizing your analytical and problem-solving skills.
- Familiarity with WoW formats (CASC, DB2, BLP, M2, WMO, ADT) and Diablo 4 data extraction is a strong plus.
- Being experienced in Blizzard games will make it easier to understand project requirements and the consumer side.
We are proud to be an Equal Opportunity / Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on any protected category.
Ready to apply?
Apply to ZAM
A Career with Point72’s AI/ML – Investment Services Team
The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.
What You’ll Do
- Architect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
• Ingest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources
• Collaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs
• Optimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)
• Enforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM
• Build automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads
• Support the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams
• Continuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities
What’s Required
- Bachelor’s or master’s degree in computer science or engineering
- 3+ years of experience in data engineering or related field
- Strong experience in Python development
- Experience with Spark or Scala
- Proficiency in building scalable, distributed data pipelines in a cloud environment
- Solid understanding of data architecture principles, data modeling, and data warehousing
- Ability to devise novel and innovative solutions to challenges
- Knowledge of/experience with graph databases is a plus
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:
- Sports card
- Private life insurance
- Private medical and dental care, with vision allowance
- Private pension scheme
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
- Business travel accident insurance
- Employee assistance program
- Educational assistance reimbursement
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
Ready to apply?
Apply to Point72
A Career with Point72’s Technology Group
As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.
We’re looking for individuals that are highly proficient in their respective technology platform, articulate, solution driven, client focused, and proactive in building their technology skills.
What you’ll do
You will be part of the team that builds a multitenant data platform to onboard internal and external data sources and perform a central role in data ingestion, consumption, and cataloguing. You will join a team of experts in data pipelines focusing on data streaming and acquisition, storage of the data in multiple forms (raw, normalized, operational vs historical), ELT, transformation, distribution, access layers for different types of technical access and entitlements. Building and enhancing our data platform includes applying data lake components with raw data, joined operational data, a warehouse for history and API, and an access layer, across on prem and cloud technologies and clients. In this role, you will be responsible for leading and providing best practices for the team managing the Data Platform on AWS for our Firm. You will work closely with the architect/business for gathering requirements and delivering. As a Lead Python Engineer, you will be:
• Working together with Engineering Managers and the rest of Leadership team in Poland and US
• Planning projects and successfully delivering them with the team
• Building data ingestion pipelines in the cloud and assisting in extending our AWS cloud offering
• Working extensively in Databricks platform and leveraging all of the Databricks features (pipelines, Unity Catalogue, streaming, etc)
• Improving excellence of the team, processes, and practices within the company
• Working with customers towards a project’s success
What’s required
The ideal candidate should be experienced in Python and AWS Cloud with good communication skills.
• Excellent Python and software craftsmanship skills (more than 3 years)
• Experience with working in microservices framework and event-driven architectures
• Experience with Spark (building scalable and maintainable pipelines in PySpark and Scala)
• Experience with Spark Streaming (building low latency pipelines)
• Experience with Delta format (opensource Delta Lake project)
• Experience with Kubernetes
• Experience with MongoDB
• Experience with AWS Cloud
• Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
Ready to apply?
Apply to Point72
CAPCO POLAND
*We are looking for Poland based candidate.
KEY RESPONSIBILITIES:
- Working closely with the Development Manager, Project Manager, and a team of developers to deliver quality features and enhancements to the internal business users.
- Writing robust code along with a high-level of test coverage.
- Designing smart and scalable solutions following the bank standards.
- Developing, preparing and maintaining system documentation, including program descriptions and operational procedures.
REQUIRED SKILLS & QUALIFICATIONS:
- 7+ years of C#/WPF/.NET development experience building performance critical rich desktop applications
- Hands on experience within investment banking IT
- Strong knowledge and experience of working in Agile teams with Agile practices
- Good judgement and decision-making skills with a pragmatic and common-sense approach to solving problems
- Strong problem-solving and analytical skills
- Excellent communication and interpersonal skills, with the ability to build and maintain relationships with all stakeholders
- Ability to work in a fast-paced front-office environment
- Ability to prioritize and work on multiple workstreams simultaneously
- Ability to take ownership of issues and projects, and see them through to delivery
TECHNICAL COMPETENCIES:
- C#/ WPF/ .NET development of rich desktop applications
- Multithreaded, concurrent, and asynchronous programming using TPL and Rx
- MVVM frameworks, preferably Prism
- Dependency Injection containers, preferably Unity
- LINQ/Rx with a functional mindset and coding style
- RESTful APIs and message queues such as ActiveMQ
- DevExpress, Infragistics, or any other popular WPF component library
- Object-Oriented Design and Programming (OOD/OOP)
- NUnit, Moq, TDD, BDD, UI Automation
- CI/CD Pipelines such as Azure DevOps
- Agile/Scrum practices
- Visual Studio and ReSharper
We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.
RECRUITMENT PROCESS:
- HR interview with the recruiter
- Technical interview with Capco Engineering team
- Client interview
- Feedback and offer
Ready to apply?
Apply to Capco